Objective To propose a lightweight end-to-end neural network model for automated Korotkoff sound phase recognition and subsequent blood pressure (BP) measurement, aiming to improve measurement accuracy and population adaptability. Methods We developed a streamlined architecture integrating depthwise separable convolution (DSConv), multi-head attention (MHA), and bidirectional gated recurrent unit (BiGRU). The model directly processes Korotkoff sound time-series signals to identify auscultatory phases. Systolic BP (SBP) and diastolic BP (DBP) were determined using phase Ⅰ and phaseⅤdetections, respectively. Given the clinical relevance of phase Ⅳ for specific populations (e.g., children and pregnant women, denoted as DBPⅣ), BP values from this phase were also recorded.Results The study enrolled 106 volunteers with 70 males and 36 females at mean age of (40.0±12.0) years. The model achieved 94.25% phase recognition accuracy. Measurement errors were (0.1±2.5) mm Hg (SBP), (0.9±3.4) mm Hg (DBPⅣ), and (0.8±2.6) mm Hg (DBP). Conclusion Our method enables precise phase recognition and BP measurement, demonstrating potential for developing population-adaptive blood pressure monitoring systems.

OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.

In recent years， repetitive transcranial magnetic stimulation （rTMS） has garnered significant attention as a therapeutic approach for sleep disorders in the elderly. However， the prevailing rTMS protocols are predominantly developed based on normative neurophysiological data derived from young adults and fail to incorporate individualized parameters tailored to the brain characteristics of the elderly. To address this gap， the consensus development group synthesized the latest evidence from 2010 to 2025 and established a standardized rTMS protocol specifically for elderly patients with sleep disorders. Adhering to the Appraisal of Guidelines for Research and Evaluation II （AGREE II） framework， systematically screened randomized controlled trials （RCTs） and systematic reviews regarding rTMS in the treatment of sleep disorders across various conditions. Meanwhile， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system was employed to rigorously grade the quality of evidence and the strength of recommendations. This consensus guideline delineates precise rTMS protocols for the management of sleep disorders in the elderly， highlights the adjustment of stimulation intensity according to scalp-cortex distance recommends either MRI‑guided neuronavigation or the Beam F3/F4 heuristic approach for accurate target localization， thereby providing precise rTMS intervention protocol for sleep disorders in the elderly， aiming to enhance clinical efficacy while ensuring treatment safety. ［Funded by National Key Research and Development Program （number， 2023YFC3603200）； General Program of Shenzhen Science and Technology Innovation Commission （number， JCYJ20240813112859008， JCYJ20240813112900002）； Youth Program of Shenzhen Kangning Hospital （number， KN2023A004）； www.guidelines-registry.cn number， PREPARE-2026CN530］

ObjectiveNonalcoholic fatty liver disease （NAFLD） is a metabolic stress liver injury. Ferroptosis is involved in the occurrence and development of NAFLD. Exploring the efficacy and mechanism of schisandrin B in treating NAFLD facilitates the development of strategies for the prevention and treatment of NAFLD. MethodsThe molecular structure of schisandrin B was obtained by searching against PubChem， and the related targets were predicted by SwissTargetPrediction. The active ingredients and their targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the high-throughput experiment- and reference-guide database of traditional Chinese medicine （HERB）. GeneCards and FerrDb were searched for the targets of NAFLD and ferroptosis. The common targets were taken as the core targets， and the protein-protein interaction network of the core targets was established. DAVID was used for gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses. Finally， molecular docking was performed between schisandrin B and core targets， and the binding energy was calculated. C57BL/6 mice were fed with a methionine and choline-deficiency （MCD） diet for the modeling of NAFLD. Mice were randomized into normal， model， positive drug （essentiale）， and low- and high-dose schisandrin B groups. The body mass and liver index of mice were measured after drug administration. The levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in the serum and those of total cholesterol （TC）， triglyceride （TG）， malondialdehyde （MDA）， glutathione （GSH）， and Fe²⁺ in the liver homogenate were measured by biochemical assay kits. The pathological changes of the liver tissue were observed by hematoxylin-eosin （HE） and red oil O staining. Enzyme-linked immunosorbent assay was employed to determine the levels of interleukin （IL）-6， IL-1β， tumor necrosis factor （TNF）-α， and 4-hydroxynonenal （4-HNE） in the serum. Western blotting and real-time PCR were employed to determine the protein and mRNA levels， respectively， of solute carrier family 7 member 11 （SLC7A11）， solute carrier family 3 member 2 （SLC3A2）， glutathione peroxidase 4 （GPX4）， transferrin， and ferritin heavy chain （FTH） in the liver tissue. ResultsA total of 2 370， 2 547， and 1 451 targets of schisandrin B， NAFLD， and ferroptosis were obtained， in which 90 common targets were shared by the three. Enrichment analyses predicted 505 GO terms and 92 KEGG pathways. Molecular docking suggested that schizandrin B had strong binding affinity with the key targets of ferropstosis （SLC7A11 and SLC3A2）. Animal experiments showed that schizandrin B significantly decreased the liver index， lowered the levels of ALT， AST， TC， TG， IL-6， IL-1β， and TNF-α， alleviated hepatocyte ballooning and inflammatory cell infiltration， and reduced lipid accumulation in the liver of NAFLD mice. In addition， schisandrin B significantly lowered the levels of MDA， 4-HNE， and Fe²⁺， elevated the level of GSH， up-regulated the protein and mRNA levels of SLC7A11， SLC3A2， and GPX4， and down-regulated the protein and mRNA levels of transferrin in the liver tissue. ConclusionSchisandrin B can alleviate NAFLD by inhibiting ferroptosis in hepatocytes.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

The incidence of chronic venous disease(CVD)is significantly higher in the elderly population compared to non-elderly individuals,with more severe disease manifestations.Additionally,elderly CVD patients often have comorbid conditions such as cardiovascular diseases,making the evaluation process more complex and increasing treatment difficulty.Currently,there are no established recommendations in China for the diagnosis and treatment of CVD in individuals aged 60 and above.Against this backdrop,the Peripheral Vascular Disease Management Branch of the Chinese Geriatric Society has developed the Chinese Expert Consensus on the Diagnosis and Treatment of Chronic Venous Disease in the Elderly based on domestic and international guidelines,relevant evidence-based medical research,and the physiological and clinical characteristics of the elderly population in China.This consensus aims to provide an important reference for improving the diagnosis and treatment of CVD in elderly patients in China.

The integration of artificial intelligence(AI)into medical practice has significantly impacted the field of cerebrovascular disease.AI algorithms are increasingly being employed to enhance the diagnosis and management of cerebrovascular conditions.However,the clinical application and accuracy of these AI tools require further rigorous evaluation.This review probes into the current applications of AI in diagnosis and decision-making in cerebrovascular disease,and explores the potential and challenges associated with their implementation.

Objective To explore the value of deep learning image reconstruction(DLIR)algorithm to improve the quality of low keV monochromatic portal vein images of energy spectrum CT.Methods Fifty patients who underwent enhanced upper abdominal energy spectrum CT scan were selected.Mixed-model adaptive statistical iterative reconstruction-Veo(50%ASIR-V)algorithm and high-deep learning image reconstruction(DLIR-H)algorithm were used to obtain monochromatic images at 40-70 keV(with intervals of 10 keV).The CT and standard deviation(SD)values of the portal vein trunk,left and right branches,and erector spinae muscle were measured in the transverse position,and the signal-to-noise ratio(SNR)and portal vein contrast-to-noise ratio(CNR)were calculated for objective evaluation.The portal vein image quality between the two algorithms and different energy was subjectively scored by two physicians.Results In terms of objective evaluation:compared with 50%ASIR-V,the CNR and SNR of portal vein in monochromatic DLIR-H images at the same keV between 40-70 keV energy levels were increased while the SD value was decreased(P＜0.05),and the CT value was unchanged;there was no statistical difference in the magnitude of change in CNR between the two algorithms at different energy levels(P＞0.05);there was a statistically significant difference in the magnitude of change in SNR and SD value(P＜0.05)and the magnitude of change was the largest at 40 keV;comparison between different energy levels of DLIR-H,the CNR and SD value of 40 keV DLIR-H were the highest(P＜0.05),and there was no significant difference in the SNR(P＞0.05).In terms of subjective evaluation:there was no significant difference between the subjective scores of the two algorithms at the same keV from 40-70 keV(P＞0.05),and the two reconstruction algorithms at 40 keV and 50 keV had the highest subjective scores between different keV.Conclusion The DLIR algorithm can reduce the noise of low keV monochromatic images,improve the image quality of portal vein.

Objective:To explore clinical characteristics of multiple sclerosis(MS)patients in Suzhou,and to analyze main factors affecting their prognosis.Methods:General data,clinical symptoms,cerebrospinal fluid and imaging examinations of 51 MS patients admitted to Department of Neurology of the Second Hospital of Soochow University from July 31,2009 to July 31,2021 were retrospectively analyzed,and main factors affecting their prognosis were discussed.Results:Average age of onset of 51 MS patients was(43.3±15.6)years old,female accounted for 56.9%,male/female=1/1.3.Adult onset MS(AOMS)accounted for 62.8%,male/female=1/1.7;late onset MS(LOMS)accounted for 37.2%,male/female=1/0.9.Relapsing remitting MS(RRMS)accounted for 76.5%,and chronic onset accounted for 60.8%.Average annual recurrence rate was 8.8%.The first symptoms were numbness and weakness of limbs.Dizziness and numbness were more common in patients without recurrence after diagnosis of MS,and limb weak-ness and numbness were more common in patients with recurrence.Among lesions of MRI,62.7%(32/51)of periventricular involve-ment,52.9%(27/51)of spinal cord involvement,51.0%(26/51)of infratentorial involvement.Proportion of subtentorial and spinal cord(cervical,thoracic)involved were significantly higher in patients with recurrent MS than without recurrence.Values of albumin,IgG,IgA and IgM in cerebrospinal fluid increased with increase of recurrence times.EDSS score of male was higher than female,and LOMS score was higher than AOMS.MS patients without relapse had a low EDSS score,and median EDSS score at current follow-up was 0(0,1.00)score.MS score with relapse was relatively high,and median EDSS score at current follow-up was 2.75(0.25,7.25)score.Conclusion:MS patients with chronic onset are more common,with a high proportion of LOMS,and proportion of males increases with increasing age of onset.High EDSS score at first onset,cervical,thoracic and subtentorial lesions,increased values of cerebrospinal fluid albumin,IgG,IgA,IgM,age at first onset(50+years old),male associate with poor MS prognosis.

Objectives:This study aims to explore the causal relationships between immune cells and serum metabolites in the development of coronary heart disease(CHD)using Mendelian randomization(MR)methods.Methods:We conducted a two-sample MR analysis utilizing data from the FinnGen Project's genome-wide association study(GWAS)on CHD,alongside data on metabolites and immune cells from the GWAS catalog.For the identified associated metabolites,we further employed mediation MR methods to evaluate their mediating roles in the influence of immune cells on CHD.Results:The MR analysis indicated that three immune cells(IgD-CD24-%B cell,CD11b on CD14+monocyte,HLA DR on DC)had stable causal relationship with CHD(under the premise of inverse variance weighted[IVW]method P<0.05,both MR-Egger and weighted median methods also showed P<0.05).Furthermore,these immune cells were associated with CHD through four metabolites(N-acetylneuraminic acid levels,the ratio of desmethyltaurine to taurine,X-24801 and X-18779).Conclusions:This study reveals the causal relationships between immune cells and serum metabolites in the pathogenesis of CHD,providing new biomarkers for early prediction and risk assessment of CHD.